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Amazon SageMaker VS Sonar by Facebook

Compare Amazon SageMaker VS Sonar by Facebook and see what are their differences

Amazon SageMaker logo Amazon SageMaker

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Sonar by Facebook logo Sonar by Facebook

Extensible mobile app debugging for iOS and Android
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15
  • Sonar by Facebook Landing page
    Landing page //
    2022-03-30

Amazon SageMaker videos

Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks

More videos:

  • Review - An overview of Amazon SageMaker (November 2017)

Sonar by Facebook videos

No Sonar by Facebook videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Amazon SageMaker and Sonar by Facebook)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
AI
100 100%
0% 0
Error Tracking
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon SageMaker and Sonar by Facebook

Amazon SageMaker Reviews

7 best Colab alternatives in 2023
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning. It allows users to write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, making the process of developing, testing, and deploying models much more manageable.
Source: deepnote.com

Sonar by Facebook Reviews

We have no reviews of Sonar by Facebook yet.
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Social recommendations and mentions

Based on our record, Amazon SageMaker should be more popular than Sonar by Facebook. It has been mentiond 37 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon SageMaker mentions (37)

  • Quantum Convolutional Neural Networks
    Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. - Source: dev.to / 20 days ago
  • Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
    Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / about 2 months ago
  • Sentiment Analysis with PubNub Functions and HuggingFace
    At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 2 months ago
  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 5 months ago
  • Technical Architecture for LLMOps
    Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: about 1 year ago
View more

Sonar by Facebook mentions (15)

  • Can anyone explain how to debug with Android Studio?
    Definitely switch to VS Code! I personally don't use the built in VS Code debugger, but check out Flipper as another option. It's got a lot of great tools and plugins for debugging. The Layout Inspector will be what you are looking for if you want to inspect the styling specifically. Source: about 1 year ago
  • Tools for Debugging in React-Native
    Very useful and beautiful and simply , my suggestion is to use this Flipper. - Source: dev.to / over 1 year ago
  • Logcat is awful. What would you improve?
    You may also want to look into custom Flipper plugins to instrument your app. Source: over 1 year ago
  • React vs React Native: How Different Are They, Really?
    Some development tools for the web are similar (Chrome debugger, mostly) to those for React Native, but other aspects are very different (working with the metro bundler, using Flipper, AsyncStorage debugging, more). Some techniques developers will use are the same (breakpoints and console logging), but others are different (knowing when to restart the packager vs reinstall the app on device). - Source: dev.to / over 1 year ago
  • Why does apk built with EAS crashes on launch after installation?
    Try to debug it with adb logcat or Android Studio or Flipper you'll find the error why is crashing :). Source: over 1 year ago
View more

What are some alternatives?

When comparing Amazon SageMaker and Sonar by Facebook, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Instabug - The top apps in the world rely on Instabug for beta testing, user engagement and crash reporting.

Deepnote - A collaboration platform for data scientists

Buglife - Seriously awesome bug reporting for iOS apps

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Buglife for Android - Awesome in-app bug reporting, now on Android